Databricks предлагает четко очерченную руководящую роль в растущей компании в сфере AI и данных, с зарплатой выше рыночного ориентира и ясными требованиями к экспертизе в здравоохранении. Широкий круг взаимодействия и фокус на коммерческих целях стоит оценить вместе с высокой оплатой и потенциалом для карьеры.
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Широкая зона ответственностиОплата выше рынкаСильный брендAI в здравоохранении
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Hirify AI/Оригинал
TL;DR
Manager, Field Engineering (Specialist) - HCLS (Healthcare and Life Sciences): Leading and scaling Specialist Solutions Architect teams that drive Databricks product adoption and production use cases in healthcare and life sciences with an accent on complex data, regulatory, and industry-specific solutions. Focus on building technical teams, guiding pre-sales and post-sales collaboration, and accelerating data and AI consumption across genomics, clinical trials, healthcare, and related use cases.
Location: Northeast, United States
Salary: $197,100–$271,050 USD annually
Company
Databricks provides a unified Data and AI Platform for building and scaling data, analytics, and AI applications.
What you will do
Lead, hire, and scale a team of Specialist Solutions Architects supporting Solutions Architect and Delivery Solutions Architect organizations.
Drive Databricks product adoption and accelerate healthcare and life science use cases into production.
Guide the team in communicating complex, outcome-based technical results that increase customer value and platform consumption.
Build a collaborative culture and establish processes that improve efficiency across technical field teams.
Collaborate with Sales, Marketing, Support, Product Development, Operations, and other Field Engineering teams on vertical consumption and business targets.
Requirements
At least 2 years of experience leading, building, and guiding teams.
Experience designing and implementing complex, large-scale solutions in healthcare and life sciences.
Strong knowledge of HIPAA, GDPR, HL7, FHIR, and DICOM.
Experience in senior pre-sales or post-sales roles involving Big Data, Cloud, or SaaS professionals.
Technical background in Data Engineering, database technologies, or Data Science, with knowledge of AI and cloud software models.
Bachelor's degree in a STEM subject; an MSc is desirable.
Nice to have
Experience with genomics, bioinformatics, clinical trials, drug discovery, real-world evidence, or precision medicine.
Experience with electronic health records, telemedicine, medical imaging, or price transparency.
Experience scaling and mentoring field or technical teams from scratch in a hyper-growth environment.
Culture & Benefits
Employee benefits and perks are provided according to the employee's region.
Annual performance bonus and equity may be included in the total compensation package.
Inclusive workplace with equal employment opportunity practices.
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